Detection of Endoscopic Resection Scars and Recurrence Among Non-experts Is Less Accurate Than Experts but Improves with a Short Learning Intervention

What this Trial Is About

Researchers are studying how well endoscopists of various experience levels can detect recurrent or residual adenoma (RRA) at the site of an endoscopic mucosal resection scar in colorectal cancer and polyp patients. The study aims to evaluate the accuracy of endoscopic imaging compared to histopathology and to assess the impact of a short video-based learning tool on improving detection skills. This research addresses the risk of missed RRA that could lead to post-colonoscopy colorectal cancer. Participants will first review 15 endoscopic images and answer questions about whether the images show a resection scar, signs of RRA, and their confidence level. They will also indicate how they would treat any detected RRA or suggest alternative diagnoses. After this initial assessment, participants will watch a video-based learning tool focused on detecting RRA. Then, they will evaluate 15 different images using the same questions. All data will be collected online anonymously using pseudonyms. Throughout the study, researchers will analyze responses to measure performance in detecting RRA before and after the learning intervention over a two-year period. They will also compare performance differences among endoscopists with various experience levels. The study uses a secure international image database and involves no direct patient procedures. Participants contribute through an online survey and learning modules, with outcomes focusing on improving non-expert detection of colorectal lesion recurrence.

Detection of Endoscopic Resection Scars and Delineation of Recurrence is Trainable